Decoding spatial precipitation patterns using artificial intelligence
Spatial Information Research - Trang 1-12 - 2023
Tóm tắt
The primary objective of this research is to examine the spatio-temporal variations in precipitation within the Indian Monsoon region (IMR), with a particular focus on regional relationships. This investigation utilizes rainfall data collected from rain gauge stations for the year 2020, a year marked by extreme weather events such as floods in Assam and Mumbai, Cyclone Amphan, and multiple cloud-bursts in the Western Himalayan regions. The time series analysis is conducted to find the precipitation patterns across six distinct geographical zones. A numerical association rule is formulated by leveraging both k-means clustering and Apriori techniques. The central finding of this study underscores the North Eastern region’s prominent co-occurrence pattern of rainfall events, particularly concerning lead days. Specifically, when there is rainfall in the preceding days, there is a notable likelihood of continued rainfall on the subsequent day. This prolonged and consecutive rainfall pattern, persisting for three successive days, emerges as a one of the major contributing factors to the flooding incidents experienced in these regions.
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